{"id":"W2236604136","doi":"10.5376/tgg.2015.06.0001","title":"Lalmi 04 - A New Rainfed Wheat Variety for Afghanistan","year":2015,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Agronomy; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048367,0.0005456926,0.0003980924,0.001062793,0.000902524,0.0004253697,0.0005222968,0.0002919952,0.003527595],"category_scores_gemma":[0.0002073797,0.0002457199,0.0003436487,0.0008382534,0.0002176361,0.0002250062,0.0006286872,0.0007434343,0.0009176707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007028329,"about_ca_system_score_gemma":0.0004574443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814962,"about_ca_topic_score_gemma":0.0103619,"domain_scores_codex":[0.9997995,0.0000301975,0.00002824631,0.00004667719,0.00005111932,0.00004416809],"domain_scores_gemma":[0.9997384,0.00002194745,0.00006243608,0.00004063091,0.0000443789,0.00009224445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001586632,0.0006027722,0.01247511,0.00008578992,0.0000468894,0.001074298,0.0004484163,0.0002300598,0.9531384,0.0004131217,0.00186439,0.02803411],"study_design_scores_gemma":[0.00154613,0.007401727,0.5721813,0.00008281524,0.0003579668,0.00853558,0.00141308,0.002167245,0.2657231,0.0002552285,0.140084,0.0002517687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991125,0.0001396787,0.001701471,0.0001432116,0.00006826293,0.0002318863,0.002615785,0.0003177794,0.003656828],"genre_scores_gemma":[0.9429474,0.0002593888,0.01413058,0.0003079319,0.00003438853,0.0006961817,0.0238015,0.0002673607,0.01755527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003527595,"threshold_uncertainty_score":0.01180094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05163638067359971,"score_gpt":0.2473999152415263,"score_spread":0.1957635345679266,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}